Courses in Probability Theory can help you learn statistical reasoning, random variables, and probability distributions. You can build skills in hypothesis testing, regression analysis, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Excel, that support analyzing data and modeling real-world phenomena. You'll explore key topics such as Bayes' theorem, expected value, and the law of large numbers, all of which are crucial for applications in fields like finance, engineering, and artificial intelligence.

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Probability Distribution, Theoretical Computer Science, Artificial Intelligence
Build toward a degree
Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, R (Software), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistics, Probability, Regression Analysis, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Intermediate · Course · 1 - 4 Weeks

École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Statistics, Statistical Inference, Simulations, Mathematical Theory & Analysis, Calculus
Mixed · Course · 1 - 3 Months

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Beginner · Guided Project · Less Than 2 Hours

University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Build toward a degree
Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months